Excited to show our new work on a trait-like connectomic signature for psychosis treatment prediction. Thank you for all coauthors! @zhhresearch @ToddLencz @jgallegomd @JRubioMD @docETP @akmalhotramd Again, the cerebellum stands out in the spotlight. https://t.co/nLhmtGP2Da
A Functional Connectome-Based Neural Signature for Individualized Prediction of Antipsychotic Response in First-Episode Psychosis.
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Aug 2023 – Feb 2024Where it's discussed
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X / Twitter12 posts
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YouTube2 videos
AI synopsis
What people are saying
Participants express strong interest and general agreement through phrases like 'excited to share our work' and 'promising predictor,' emphasizing the potential of connectome-based signatures for improving psychosis treatment. The tone and emphasis on brain connectivity, especially highlighting the cerebellum, contribute to a sense of optimism and perceived significance, but most comments remain at the level of enthusiasm rather than detailed critique or in-depth analysis.
Most discussions highlight enthusiasm and support for the significance of the research findings, with words like 'excited' and 'promising' indicating strong agreement.
Posts demonstrate high interest, focusing on the innovative aspects of connectomic signatures and their potential for personalized treatment.
While some contributions express excitement and acknowledge coauthors, few delve deeply into methodological details or broader implications, suggesting moderate engagement.
The discussions recognize the potential impact of the research on predicting treatment outcomes and expanding understanding of psychosis, though these ideas remain somewhat aspirational.
Abstract in brief
- This study found a specific brain connectivity pattern that can predict how individual patients with first-episode psychosis will respond to antipsychotic medication, using fMRI scans taken at the start of treatment.
- The predictive model focused on connections related to the cerebellar and cortical regions, with certain connectivity patterns indicating better or worse treatment outcomes, and it was successful in both the initial and an independent validation sample.
- Overall, this research suggests that brain connectivity features could serve as early biomarkers for personalizing treatment in psychosis, potentially leading to better, more targeted therapies.]
Top posts
Most liked on X and BlueskyThe functional organization of the brain may predict an individual's improvement in psychosis symptoms after antipsychotic treatment. https://t.co/TYnHjaVrTa https://t.co/SV6ULGL7R5
A Functional Connectome-Based Neural Signature for Individualized Prediction of Antipsychotic Response in First-Episode Psychosis https://t.co/cF28DOmkKA
A connectome-based functional signature as a promising early predictor for individualized response to antipsychotic treatment in first-episode psychosis, I assume that other psychopathologies and psychotherapy will also be investigated in the future. https://t.co/pqVVkPr5vR
https://t.co/JTscOcWDSB
これも小脳か A Functional Connectome-Based Neural Signature for Individualized Prediction of Antipsychotic Response in First-Episode Psychosis https://t.co/WEQY1UEDG1
All mentions
Psychotic Disorder Incidence and Racial Disparities in Psychiatry Annual Review
American Journal of Psychiatry Deputy Editor Daniel S Pine MD discusses key articles on racial and ethnic disparities in psychotic disorder incidence and predictive neural signatures for antipsychotic response…
Brain Connectivity Predicts Antipsychotic Response in First-Episode Psychosis
This study identified brain connectivity patterns that predict individual responses to antipsychotics in first-episode psychosis, focusing on cerebellar and cortical connections, highlighting potential for personalized…
https://t.co/JTscOcWDSB
A Functional Connectome-Based Neural Signature for Individualized Prediction of Antipsychotic Response in First-Episode Psychosis https://t.co/cF28DOmkKA
A connectome-based functional signature as a promising early predictor for individualized response to antipsychotic treatment in first-episode psychosis, I assume that other psychopathologies and psychotherapy will also be investigated in the future. https://t.co/pqVVkPr5vR
RT @HengyiCao: Excited to show our new work on a trait-like connectomic signature for psychosis treatment prediction. Thank you for all coa…
これも小脳か A Functional Connectome-Based Neural Signature for Individualized Prediction of Antipsychotic Response in First-Episode Psychosis https://t.co/WEQY1UEDG1
RT @HengyiCao: Excited to show our new work on a trait-like connectomic signature for psychosis treatment prediction. Thank you for all coa…
RT @HengyiCao: Excited to show our new work on a trait-like connectomic signature for psychosis treatment prediction. Thank you for all coa…
RT @HengyiCao: Excited to show our new work on a trait-like connectomic signature for psychosis treatment prediction. Thank you for all coa…
RT @HengyiCao: Excited to show our new work on a trait-like connectomic signature for psychosis treatment prediction. Thank you for all coa…
Excited to show our new work on a trait-like connectomic signature for psychosis treatment prediction. Thank you for all coauthors! @zhhresearch @ToddLencz @jgallegomd @JRubioMD @docETP @akmalhotramd Again, the cerebellum stands out in the spotlight. https://t.co/nLhmtGP2Da
The functional organization of the brain may predict an individual's improvement in psychosis symptoms after antipsychotic treatment. https://t.co/TYnHjaVrTa https://t.co/SV6ULGL7R5
A Functional Connectome-Based Neural Signature for Individualized Prediction of Antipsychotic Response in First-Episode Psychosis. URL: https://t.co/dmfhPuGTtW
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